guillaumejaume / graph-neural-networks-roadmapLinks
☆215Updated 5 years ago
Alternatives and similar repositories for graph-neural-networks-roadmap
Users that are interested in graph-neural-networks-roadmap are comparing it to the libraries listed below
Sorting:
- Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)☆285Updated 4 years ago
- A tutorial on Graph Convolutional Neural Networks☆318Updated 4 years ago
- PyTorch Implementation of GraphTSNE, ICLR’19☆135Updated 6 years ago
- Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)☆334Updated 4 years ago
- A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).☆273Updated 2 years ago
- An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).☆405Updated 2 years ago
- Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling☆203Updated 3 years ago
- Position-aware Graph Neural Networks☆399Updated 4 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆197Updated last year
- Graph Markov Neural Networks☆410Updated 5 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆352Updated last month
- Pytorch Implementation for Graph Convolutional Neural Networks☆326Updated 6 years ago
- ☆423Updated 6 years ago
- Papers on Graph neural network(GNN)☆766Updated last year
- Hierarchical Graph Pooling with Structure Learning☆341Updated 4 years ago
- ☆492Updated 4 years ago
- PyTorch implementation of residual gated graph ConvNets, ICLR’18☆122Updated 6 years ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆187Updated 3 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆475Updated 6 years ago
- A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)☆210Updated 2 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Updated 2 years ago
- Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019☆478Updated last year
- Official PyTorch Implementation of SAGPool - ICML 2019☆370Updated last year
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆133Updated 4 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆124Updated 6 years ago
- Papers about developing deep Graph Neural Networks (GNNs)☆302Updated 2 years ago
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆195Updated 4 years ago
- The official repo is https://github.com/dmlc/dgl . THIS IS A FORK.☆154Updated 2 years ago
- Dual Graph Convolution Networks☆95Updated 6 years ago
- Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…☆271Updated 4 months ago